Parallel Domain
Senior Machine Learning Engineer, Diffusion & Reconstruction(m/w/x)
Full-timeWith HomeofficeSenior
Karlsruhe
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PAParallel Domain
Machine Learning Data Engineer(m/w/x)
Karlsruhe
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
As a Machine Learning Data Engineer, you will focus on building and scaling data pipelines, ensuring efficient data flow from raw inputs to structured formats that support the development and evaluation of ML models.
Requirements
- Proven experience building scalable data pipelines and tooling
- Understanding of data usage in model training and evaluation
- Practical experience with 3D concepts and geometry
- Strong Python proficiency and comfort with large datasets
- Experience working closely with ML engineers on data needs
- MS or PhD in ML, computer vision, robotics, or related field
- Familiarity with cloud storage and distributed processing frameworks
- Experience handling camera, lidar, or radar data
- Familiarity with data visualization systems like Foxglove, Rerun, or Voxel51
- Experience with dataset versioning, preprocessing automation, or training pipeline orchestration
Tasks
- Build reliable data ingestion pipelines
- Normalize and validate customer and synthetic data
- Create schemas and validation checks for datasets
- Establish quality metrics for Replica datasets
- Implement tools for dataset filtering and versioning
- Support dataset annotation
- Generate high-quality data feeds for ML training and evaluation
Work Experience
approx. 1 - 4 years
Education
Master's degree
Languages
English – Business Fluent
Tools & Technologies
PythonFoxgloveRerunVoxel51
Benefits
Purpose-Driven Work
- •Impactful work
Informal Culture
- •Collaborative culture
Career Advancement
- •Professional growth
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Parallel Domain and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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PAParallel Domain
Machine Learning Data Engineer(m/w/x)
Karlsruhe
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
As a Machine Learning Data Engineer, you will focus on building and scaling data pipelines, ensuring efficient data flow from raw inputs to structured formats that support the development and evaluation of ML models.
Requirements
- Proven experience building scalable data pipelines and tooling
- Understanding of data usage in model training and evaluation
- Practical experience with 3D concepts and geometry
- Strong Python proficiency and comfort with large datasets
- Experience working closely with ML engineers on data needs
- MS or PhD in ML, computer vision, robotics, or related field
- Familiarity with cloud storage and distributed processing frameworks
- Experience handling camera, lidar, or radar data
- Familiarity with data visualization systems like Foxglove, Rerun, or Voxel51
- Experience with dataset versioning, preprocessing automation, or training pipeline orchestration
Tasks
- Build reliable data ingestion pipelines
- Normalize and validate customer and synthetic data
- Create schemas and validation checks for datasets
- Establish quality metrics for Replica datasets
- Implement tools for dataset filtering and versioning
- Support dataset annotation
- Generate high-quality data feeds for ML training and evaluation
Work Experience
approx. 1 - 4 years
Education
Master's degree
Languages
English – Business Fluent
Tools & Technologies
PythonFoxgloveRerunVoxel51
Benefits
Purpose-Driven Work
- •Impactful work
Informal Culture
- •Collaborative culture
Career Advancement
- •Professional growth
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Parallel Domain and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Parallel Domain
Industry
IT
Description
The company accelerates the safe development of autonomous systems through its synthetic data platform for AI-powered software.
Not a perfect match?
- Parallel Domain
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